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On the performance of the Jackknifed Liu-type estimator in linear regression model

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  • Nilgün Yıldız

Abstract

In this paper, we are proposing a modified jackknife Liu-type estimator (MJLTE) that was created by combining the ideas underlying both the Liu-type estimator (LTE) and the jackknifed Liu-type estimator (JLTE). We will also present the necessary and sufficient conditions for superiority of the MJLTE over the LTE and JLTE, in terms of mean square error matrix criterion. Finally, a real data example and a Monte Carlo simulation are also given to illustrate theoretical results.

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  • Nilgün Yıldız, 2018. "On the performance of the Jackknifed Liu-type estimator in linear regression model," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 47(9), pages 2278-2290, May.
    • Handle: RePEc:taf:lstaxx:v:47:y:2018:i:9:p:2278-2290
    DOI: 10.1080/03610926.2017.1339087
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